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Machine Learning Breakthrough Transforms Battery Lifespan Prediction

Illustration showing a machine learning framework for battery testing: a Gaussian Process model visualizes battery energy predictions across cycles and parameters, with model entropy highlighting areas of uncertainty for new experiments; additional graphics show cell testing results, predicted energy decline, and a gauge indicating battery C-rate from low to high.

Science Highlight: Breakthrough Computing Method Speeds Up Big Calculations for Science and Engineering

Color-coded matrix diagram illustrating the H2 matrix representation of a 3D Boundary Element Method (BEM) matrix, with red blocks indicating fully formed matrix sections and green blocks showing low-rank compressed regions in a nested structure.

Meet Mark Fornace, Berkeley Lab’s 2025 Alvarez Fellow

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Computational Chemistry Unlocked: A Record-Breaking Dataset to Train AI Models has Launched

Computing Chemistry Color Geometric Shape

Berkeley Lab Researchers Awarded ARITH 2025 Best Paper

Certificate for the Best Paper Award at the 32nd IEEE Symposium on Computer Arithmetic (ARITH-2025), held in El Paso, Texas, May 4–7, 2025. The award is given to Jackson Vanover, James Demmel, Xiaoye Sherry Li, and Cindy Rubio-González for the paper titled "EXCVATE: Spoofing Exceptions and Solving Constraints to Test Exception Handling in Numerical Libraries." The certificate is signed by Program Chairs Ping Tak Peter Tang and Guillaume Melquiond.

AMCR’s Stefan Wild Named 2025 SIAM Fellow

Berkeley Lab Researchers Help Shape the Future of AI in Biological Research

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Berkeley Lab Joins Eight DOE Labs to Host 1,000-Scientist AI Jam

Three participants during the AI Jam event

Berkeley Lab Joins Forces with HPSF to Drive HPC Innovation

The Perlmutter supercomputer at NERSC, housed in a large facility with exposed ceiling pipes. Its cabinet panels feature a vibrant design with cosmic imagery, including orange and blue nebulae, a historical photo of physicist Saul Perlmutter with his research team, and an illustration of telescopes. The word 'Perlmutter' is prominently displayed across the panels.

2025 CSA Postdoc Symposium Spotlights Innovation from Early Career Researchers

A photo collage of three individuals speaking at an event. The left image features a man with shoulder-length dark hair, wearing a white patterned shirt and a lanyard, gesturing with his hands while speaking. The middle image shows a woman with long black hair, wearing a striped button-up shirt and a dark cardigan, speaking into a microphone while gesturing with her hands. The right image captures a woman with curly dark hair, wearing a black jacket with decorative buttons, looking off to the side while standing in front of a screen displaying text and graphics.

Berkeley Lab Staff Awarded for ECP Leadership

Group photo of ECP Leadership award recipients.

Berkeley Researchers Crack Open ‘AI-at-Scale’ Method for Chemical Science

Animation showing molecules represented as color-coded dots. The image illustrates how EScAIP optimizes reaction paths involving complex structures with many atoms, highlighting the speed and low memory usage critical to its efficiency. This method is under development by Samuel Blau and colleagues using data from the Open Catalyst Project.
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